Official UN Comtrade and World Bank figures, cleaned into one spreadsheet.
Every number carries its source URL, the retrieval date, and the exact API query — so you can verify it
before you rely on it. If a figure could not be obtained, the file says not available. We never estimate.
Download a full free sample (XLSX, 11 KB, five years inside)
USD 29 / 49 / 89 per pack · free sample first, no signup · pay by card (Stripe) · delivered by email within 48 hours · see the three tiers
| Sheet | Contents |
|---|---|
| Read me | Scope, method, and a 5-minute self-verification procedure |
| Imports by partner | Value (USD) and share (%) per partner country, with partner_code and a name_source note |
| Total | Market size for your HS code, equal to the Comtrade World row — with the cross-check stated |
| Totals by year | In multi-year packs: one row per year, with the year-over-year change computed from the figures themselves |
| Macro indicators | Ten World Bank series — GDP, GDP growth, GDP per capita, population, internet use, inflation, exports and imports as % of GDP, manufacturing as % of GDP, urbanisation — each with its own year and source |
| Sources and gaps | Every source URL, plus what is deliberately missing and why |
| Market | HS code | 2023 imports | Top partner |
|---|---|---|---|
| Indonesia | 2106 | USD 703,645,643 | China — 156,669,628 (22.27%) |
| Vietnam | 2106 | USD 1,060,567,534 | Singapore — 260,939,390 (24.60%) |
| Thailand | 2106 | USD 817,544,172 | Singapore — 282,936,351 (34.61%) |
| Indonesia | 0901 (coffee) | USD 116,995,817 | Viet Nam — 55,848,110 (47.74%) |
Indonesia sample (XLSX) · Vietnam sample (XLSX) · Thailand sample (XLSX) · A different HS code: Indonesia coffee 0901 (XLSX) · How to verify (Markdown)
Most buyers don't, and that is fine. Describe the product in one sentence at checkout (for example “imported canned sweetcorn” or “OEM phone chargers, 20W”) and we will pick the closest HS headings, show you which ones we considered, and state explicitly which part of the category the code cannot separate. If two codes are plausible we deliver both, at no extra charge.
What we will not do: quietly pick the code that makes the market look bigger — or a 4-digit heading when a 6-digit subheading would give you a sharper number.
| Level | Available here | Example (Indonesia, 2023) |
|---|---|---|
| 6-digit subheading (recommended) | Yes | 847130 portable computers: USD 1,167,070,863 |
| 4-digit heading | Yes | 8471 all computers: USD 2,746,490,436 |
| 8- or 10-digit national code | No — not in the UN data | — |
The 6-digit level is usually the right one for a market-size question: it is narrow enough to mean something and still comparable across countries. Where a national 8-digit split would be needed, we say so instead of quietly substituting a broader code.
One person, no sales team, no account manager. FlintAPI is run by Yucong Chen. The same person who assembled the file answers your email — so if a figure does not match the source URL we either correct it or refund the order, and you are not passed between departments to get there.
Why that matters for a data purchase: you are not buying a brand promise. You are buying a spreadsheet you can check in five minutes against the exact query on every row — before you rely on it, and before you forward it to a client.
One figure per page, taken from the official source with the query and the retrieval date shown - so you can judge the format before buying anything:
Optional: a written analysis note — USD 99
A 2–4 page note written against the same figures as your pack: what the numbers do and do not support, where the concentration sits, and what would have to be true for the market to look different. Every figure cites the row in your spreadsheet; anything the data cannot settle is marked not verified rather than guessed. Delivered within 72 hours of the pack.
Need more than one HS code or more than one country? Each additional set is +$29 and arrives as its own file in the same delivery - we do not merge different codes into one sheet, because merged sheets are where numbers get confused.
An assistant cannot call these APIs. Ask it for Indonesia's HS 2106 imports and you get a plausible-looking number with no source. Here you get the number and the query to re-run, so a client's follow-up question has an answer.